@InProceedings{Mar{\c c}alRusi{\~n}ol2015,
author="Mar{\c{c}}al Rusi{\~n}ol
and Dimosthenis Karatzas
and Josep Llados",
title="Automatic Verification of Properly Signed Multi-page Document Images",
booktitle="Proceedings of the Eleventh International Symposium on Visual Computing",
year="2015",
volume="9475",
pages="327--336",
optkeywords="Document Image",
optkeywords="Manual Inspection",
optkeywords="Signature Verification",
optkeywords="Rejection Criterion",
optkeywords="Document Flow",
abstract="In this paper we present an industrial application for the automatic screening of incoming multi-page documents in a banking workflow aimed at determining whether these documents are properly signed or not. The proposed method is divided in three main steps. First individual pages are classified in order to identify the pages that should contain a signature. In a second step, we segment within those key pages the location where the signatures should appear. The last step checks whether the signatures are present or not. Our method is tested in a real large-scale environment and we report the results when checking two different types of real multi-page contracts, having in total more than 14,500 pages.",
optnote="DAG; 600.077",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=3189), last updated on Wed, 21 Nov 2018 17:26:35 +0100",
doi="doi.org/10.1007/978-3-319-27863-6_30"
}